Chapter 5 Review and Application Questions

Chapter 5 Review - relationship with study time 21(a compute the mean and sample standard deviation in each condition(b changing conditions A,B,C

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Shawnae Cristobal Statistics Professor DeNike September 24, 2008 Box #283 Chapter 5: Review and Application Questions Pages 112-115 #s 2, 15-25 odd 2. (a) How spread out the scores and the distributions are (b) whether or not the behaviors were consistent with each other. 15. (a) Guchi. Because his standard deviation is larger, his scores are spread out around the mean, so he tends to be a more inconsistent student (b) Pluto. Because his scores are closer to the mean of 60, so it more accurately describes all of his scores (c) Pluto. Because we predict each will score at his mean score, and Pluto’s individual scores tend to be closer to his mean than Guchi’s are to his mean (d) Guchi. Because his scores vary more widely above and below 60 17. Predict the mean of 65 for each student. “Average error” is variance, so your error will be = Sx 2 6² = 36 19. She is computing the proportion of variance in exam scores accounted for by the
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Unformatted text preview: relationship with study time. 21. (a) compute the mean and sample standard deviation in each condition (b) changing conditions A,B,C changes dependent scores from around 11.00 to 32.75 to 48.00 respectively (c) the S x for the three conditions are .71, 1.09, and .71, respectively. These seem small, showing little spread, so participants scored consistently in each condition. 23. (a) Study A has a relatively narrow/skinny distribution; Study B has a wide/fat distribution. (b) In A, about 68% of the scores will be between 35(40 5) and 45(40 + 5); in B, 68% will be between 30(40 10) and 50(40 + 10) 25. (a) for conditions 1,2 ,and 3 we would expect s of about 13.33, 8.33, and 5.67, respectively (b) somewhat inconsistently, because based on s x wed expect a x of 4.51, 2.52,and 3.06, respectively....
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This note was uploaded on 04/13/2010 for the course BUSINESS 15643 taught by Professor Schilz during the Spring '10 term at École Normale Supérieure.

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